CN109327895B - NOMA and CR network-based power distribution method - Google Patents
NOMA and CR network-based power distribution method Download PDFInfo
- Publication number
- CN109327895B CN109327895B CN201811310912.3A CN201811310912A CN109327895B CN 109327895 B CN109327895 B CN 109327895B CN 201811310912 A CN201811310912 A CN 201811310912A CN 109327895 B CN109327895 B CN 109327895B
- Authority
- CN
- China
- Prior art keywords
- user
- slave
- users
- power
- master
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/243—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account interferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/18—TPC being performed according to specific parameters
- H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
- H04W52/241—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/04—TPC
- H04W52/30—TPC using constraints in the total amount of available transmission power
Abstract
The invention discloses a power distribution method based on NOMA and CR networks, which ensures that the interference of a slave user to a master user does not exceed the maximum interference threshold which can be borne by the master user by limiting the total power distributed to all slave users, thereby ensuring the conversation quality of the master user. The invention refines the interference of different master users to the slave users, and performs power distribution under the condition of fully considering the power, channel gain, signal-to-interference-and-noise ratio of the master users and the channels of the slave users. Compared with the prior art, the invention can obtain better performance under the condition of little complexity improvement, can access more slave users and improves the spectrum efficiency.
Description
Technical Field
The invention relates to a power distribution method, in particular to a method for combining cognitive radio CR and non-orthogonal multiple access NOMA to refine the mutual interference part between a master user and a slave user and carrying out power distribution in a hybrid system.
Background
The cognitive wireless network is supposed to allow authorized users and unauthorized users to share a channel, and provide more bandwidth for the unauthorized users through a heterogeneous wireless framework and a dynamic spectrum access technology. In addition, the objective can also be achieved by using a more spectrum efficient distributed Access method, for example, a Non-Orthogonal Multiple Access (NOMA) method. NOMA combined with Successive Interference Cancellation (SIC) techniques has been theorized to further improve spectrum utilization and achieve significant gains in system capacity and throughput. Different from the prior orthogonal multiple access mode, the NOMA realizes overload of system users by introducing controllable interference at the cost of improving the complexity of a receiver, thereby improving the efficiency of the system.
Through the literature search of the prior art, in such a hybrid system combining CR and NOMA, the interference between the master user and the slave user is mutual, and the interference generated by the master user to different slave users should be different, but no article or invention carefully considers the influence of the interference item. In the Power Allocation for Cognitive Radio Networks Employing Non-orthogonal Multiple Access, a system is accessed between slave users in the CR in an NOMA mode, and the total Power allocated to the slave users is limited to ensure that the interference caused by the slave users to the master users does not exceed the range that the master users can bear. For example, when the call quality of the slave user is improved, the quality of the master user should be higher.
Disclosure of Invention
Aiming at the defects in the prior art, the invention refines the interference of different master users to slave users in a hybrid system combining a CR network and NOMA, performs power distribution on each slave user in a NOMA mode under the condition of fully considering the power, channel gain, signal-to-interference-and-noise ratio of each master user and the channel of each slave user, ensures that the slave users do not influence the normal communication of the master users, and maximizes the number of the slave users accessing the system.
The invention is realized by the following technical scheme:
the CR system considered by the invention adopts an Underlay mode, a slave user communicates in a cell through a slave base station, and a plurality of pairs of master transceivers are randomly distributed in the cell to study the condition of downlink communication. It is assumed that there is a maximum tolerable interference threshold for each primary user (i.e., primary receiver), and the Quality of Service (QoS) requirements of the primary and secondary users are determined by their signal-to-interference-and-noise ratios (SINRs), respectively. The method comprises the steps of firstly determining the total power which can be controlled by all slave users according to the SINR of each master user, then carrying out power distribution on each slave user, carrying out partial elimination on interference among the slave users through the SIC, wherein the interference generated by the master users is different for each slave user, and the system refuses the access of the slave users which cannot meet the SINR requirement.
The invention comprises the following steps:
the method comprises the following steps: calculating the power of each primary user: firstly, according to the channel condition of the master user, calculating the power required by each master user under the SINR required by normal communication, and completing power distribution to the master users.
The power requirement of each primary user is satisfied:
whereinIndicating the channel gain from the ith primary transmitter to the ith primary user,indicating the transmit power of the ith host transmitter,indicating the SINR threshold that the i-th primary user must meet for normal communication,indicating interference caused by the remaining primary transmitters to the i-th primary user,indicating interference caused by all slave users to the i-th master user, N0It represents background white noise.
Step two: calculating the total power P allocable from the userS: according to the order of base station to each primary userThe channel gain of the master user is considered, the maximum interference threshold of the master user is considered, the total power of the slave users is limited, and the influence on normal communication of the master user is avoided while the power of the slave users is distributed.
For the secondary user, the interference to the primary user cannot exceed the threshold that the primary user can bear, which includes:
whereinIndicating the threshold that the primary user can tolerate,indicating the channel gain from the base station to the i-th primary user, if orderedThe binding can then rewrite the above equation to:
whereinRefers to the maximum power that can be transmitted from the base station, is a constraint on the total power of the slave base station, PSThe method ensures that the slave user can not influence the normal communication of the master user.
Step three: according to PSAnd power distribution is carried out on the slave users: the slave users access the system in a NOMA way, and mutual interference among the slave users can be partially cancelled through the SIC, so that the system can access more slave users.
After the SIC technique is adopted, the power of each slave user is solved as follows:
whereinRepresenting the power transmitted from the base station to the jth slave user,represents the power transmitted from the base station to the ith slave user,indicating the interference caused by all master transmitters to the jth slave user,indicating the SINR threshold that the jth slave user must meet for normal communication,representing the channel gain from the base station to the jth slave user. Considering that each slave user communicates with the power required by the SINR threshold, the above equation becomes:
it can be seen that the power of each slave user can be solved by sequential iterations, i.e.Can be solved directly according toCan find outAccording toAndand can obtainAnd so on.
For the above sequential iterations, the termination conditions are:
i.e. the power required by the jth slave user is larger than the power which can be allocated continuously and is left by the total power of the slave users, at this time, enough power is not available to support the access of the jth slave user and the following slave users to the system, and the iteration is terminated.
Compared with the prior art, the invention has the following beneficial effects:
the invention combines the cognitive radio network and the NOMA, and provides a power distribution method for the hybrid network, so that the number of the slave users which can be accessed in the network reaches the maximum.
In order to show the superiority of the method, the method is compared with a more classical FTPC, and a simulation result shows that the performance of the method of the embodiment is superior to that of the FTPC, and particularly under the condition of a small number of primary users N, O (N.M) and O (M) of the two methods are not greatly different, but the method can access more secondary users under the same condition. As can be seen from fig. 3 to fig. 6, under any circumstances, the present invention can access more slave users than FTPC, and especially under the circumstances that the number of master users is small or the SINR requirement of slave users is low, the number of slave users that can be accessed by the two methods differs by one time, because FTPC only performs power allocation according to the channel condition of each slave user, under the circumstance that normal communication can be performed while meeting the minimum SINR requirement, there is a situation that power is wasted due to more power allocated to users, and the allocable power cannot be reasonably utilized to the maximum.
Drawings
FIG. 1 is a system model diagram.
FIG. 2 shows FTPC with αftpcThe variation relationship of (a).
Figure 3 is a graph of the variation of the two methods from the number of users requesting access.
Fig. 4 shows the SINR variation of two methods with the user.
FIG. 5 is a graph of the variation of the two methods with the number of primary users.
FIG. 6 is the variation of the method of the present invention with the number of primary users.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
The embodiment is realized by the following steps:
the method comprises the following steps: calculating the power of each primary user: firstly, according to the channel condition of the master user, calculating the power required by each master user under the SINR required by normal communication, and completing power distribution to the master users.
As shown in fig. 1, the present embodiment assumes that there is a slave user cell, there is a slave base station in the center of the cell, there are several slave users and several pairs of master transceivers randomly distributed in the cell, and hereinafter, the master user corresponds to the master receiver, considering the downlink communication situation. Since the links of these users interfere with each other, the interference caused by the slave users to the master users and the QoS requirements of the master and slave users must be considered. It is assumed that each primary user has a maximum tolerable interference threshold, and the QoS requirements of the primary and secondary users are determined by their signal to interference plus noise ratio SINR, respectively. The cognitive radio system adopts an Underlay mode, namely a master user and a slave user can simultaneously share the same frequency band for data transmission, and in addition, the slave users access the system in a NOMA mode.
The transmission parameters of the system are respectively as follows, the number of the master users is N, the number of the slave users is M, and the channel gains from the ith master transmitter to the ith master user and from the ith slave user are respectivelyAndthe channel gain depends mainly on the distance between the user and the transmitter. Similarly, for the slave base station, the channel gains from the base station to the ith slave user and to the jth master user are respectivelyAndit is assumed that all channel gains are known to the base station or transmitter. For the primary user i, the signal-to-interference-and-noise ratio gammaiCan be expressed as follows:
whereinIndicating the transmit power of the ith host transmitter,indicating interference caused by the remaining primary transmitters to the i-th primary user,indicating interference caused by all slave users to the i-th master user, N0It represents background white noise. To ensure the conversation of the master userThe quality is not affected, and the following constraint conditions are adopted:
whereinIndicating the SINR threshold that the i-th primary user must meet for normal communications.
In the CR network, to ensure normal communication of primary users, first, (1) is carried into (2), and the primary users are considered to communicate with the power required by the SINR threshold, and the power of each primary user can be obtained:
step two: calculating the total power P allocable from the userS: according to the channel gain from the base station to each master user, the maximum interference threshold of the master user is considered, the total power of the slave users is limited, and the normal communication of the master users is not influenced while the power of the slave users is distributed.
For the slave users, it can be considered that the channel gains of the slave users exhibit a gradually decreasing characteristic (if not satisfied, only the sequence numbers of the corresponding slave users need to be exchanged), that is:
since the slave users share the same frequency band by using a NOMA access method, the SINR of the ith slave user can be expressed as follows:
whereinRepresents the transmission power of the slave base station for the ith slave user,represents the interference caused by all the main transmitters to the ith slave user, namely:
as mentioned above, the SIC technique is used at the receiving end of the slave users, so that for the slave users with better channel conditions, the signals of the users with poorer channel conditions can be detected first, and the signals of the users are subtracted from the received mixed signal, thereby achieving the effect of interference cancellation. Therefore, when calculating SINR from users, signals for those users with poor channel conditions can be removed, and combining (4) and substituting (6) into (5), we can get:
similarly, in order to ensure QoS of the slave users and enable normal communication, there are:
On the other hand, if for the ith primary user, the maximum interference threshold caused by the secondary user is the maximum interference threshold that the ith primary user can bearThen the corresponding interference constraint mayExpressed as:
wherein P isSThe total power of all slave users is represented. The appropriate modification of (10) can result in:
whereinRefers to the maximum power that can be transmitted from the base station and is a constraint on the total power from the base station.
Thus obtaining the total power P of the slave usersS,PSThe method ensures that the slave user can not influence the normal communication of the master user.
Step three: according to PSAnd power distribution is carried out on the slave users: the slave users access the system in a NOMA way, and mutual interference among the slave users can be partially cancelled through the SIC, so that the system can access more slave users.
From (12) the total power that can be handled by the slave users can be determined, in which case the power allocation problem translates into how to pair P between the slave usersSAnd performing reasonable distribution.
The normal communication from the user also needs to be guaranteed, and the substitution (7) into (8) comprises the following steps:
according to (13) and the channel gain gradually reduced from the user, the sequential iteration can be carried out on the slave users so as to achieve the purpose of distributing power, and for the jth slave user, the power is distributedIs determined by the power of the first j-1 slave users whose channel gain is better than him. Therefore, although the channel gain of the slave users is gradually decreased, the power allocated to each slave user is gradually increased as long as the sum of the power of the master userIt is known that the power required by the jth slave user can be found. The specific solution is as follows, considering that each slave user communicates with the SINR threshold, the power of the first slave user (i.e. the slave user with the best channel) is:
with power of the first slave user, according to (13) andthe second slave user power can be found as:
by analogy, the expression of the jth slave user's power can be iteratively obtained as follows:
according to (16), the power required by each slave user for normal communication can be gradually obtained, but the previous (12) total power constraint P for the slave users is not considered in the iterative processSSo that power is allocated to each slave userIt is necessary to calculate once for the slave users to which power has been allocated so farTo ensure thatThe iteration end condition that can thus be found (16) is:
that is, it means that the power required by the jth slave user is greater than the power left by the total power of the slave users and can be allocated continuously, there is not enough power to support the jth slave user to access the system, and since the channel gain is worse and worse, the power required by the following jth +1 to mth slave users is only higher and higher, so that the power of these slave users { j, j + 1.., M } can only be considered as 0, thereby ensuring that the normal communication of the master user is not affected, and the number of slave users that the system can access is j-1 at this time.
Step four: and (4) performing simulation comparison with an FTPC method.
To highlight the superiority of the present invention, the present embodiment compares the FTPC power allocation method with the following specific methods:
wherein alpha isftpcIs an attenuation coefficient in the range of 0. ltoreq. alphaftpcIs less than or equal to 1, when alpha isftpcWhen it is 0, it is obvious from (18) that the power of each slave user is equal, and the FTPC is equal power distribution. With alphaftpcAnd the value of (c) is increasing, more power is allocated to users with poorer channel conditions, which is consistent with the idea of NOMA.
The FTPC performs power allocation according to the channel gain condition of each slave user, so each slave user can allocate power, but it cannot be ensured that each slave user can satisfy the QoS requirement, so after power allocation is completed, the slave users that do not satisfy the SINR requirement need to be removed, the complexity of the FTPC is o (M), and the complexity of the method of the present invention is o (N · M) because the interference generated by the master user is considered when calculating the power of each slave user.
In this embodiment, it is assumed that in a NOMA-based CR network, the coverage area of a slave base station is 500m, the slave base station is located in the center of a cell, slave users and master transceivers are randomly distributed in the slave cell, the communication situation of a downlink is considered, mutual interference between master users is not considered, and if the interference caused by the slave users to the master users is under the maximum interference threshold that the master users can bear, the slave users will not affect the normal communication of the master users. The channel gains of the master and slave users are respectively expressed asWhereinAndrespectively representing the distance from the jth master transmitter to the ith master user and the distance from the slave base station to the ith slave user,andis a Gaussian random variable with a mean value of zero and a standard deviation of 4, K0=103Indicating various factors of system transmission. Power N of white noise0The maximum interference threshold that the primary user can bear is-170 dBmMaximum transmission power from base stationThe SINR threshold of the primary user is 5dB higher than that of the secondary user, and in order to reduce the simulation error, the operation is carried out 10 after the parameter setting4And then taking the average value as the final simulation result.
1) In the FTPC method, under the condition that the number of the slave users requesting access and the SINR of the slave users are changed, the access is changed along with alphaftpcHow many slave users the system can access
FIG. 2 considers the case of three primary users, and it can be seen that with αftpcThe number of slave users that can access the system is increasing. Because of alphaftpcThe smaller the value, the more even the power allocation, and in this case the QoS requirements cannot be met for those users with poor channel conditions, whereas α isftpcThe larger the value is, the more uneven the power distribution is, the less power is distributed to users with good channels, the more power is distributed to users with poor channels, and the number of users capable of meeting the SINR requirement naturally increases. As can also be seen from fig. 2, when 5 slave users are requested to be accessed, the SINR required by the slave users increases, and the number of accessible slave users is reduced by almost half. In any case, the number of slave users that can access the system is not large, and in the same case that the minimum SINR requirement is 5dB, the number of slave users that request access is increased from 5 to 10, but the number of slave users that can really access the system is increased by only 1, and it can be seen that the maximum access is performedThe performance of the FTPC is not excellent in the problem of the number of system users.
2) The performance of the power distribution method and the FTPC method provided by the invention is compared with the performance of the FTPC method under the condition that the power distribution method and the FTPC method are changed along with various parameters
FIG. 3 considers the variation of the two methods with the number of slave users requesting access, let αftpcThe number of the slave users requesting access is gradually increased from 1 to 10, and the conditions that the number of the master users is 3 and 5 are respectively considered, so that the method is still superior to FTPC (fiber to the Home) under the condition that the number of the users requesting access is less, even if the performance of the two methods is not greatly different, the difference of the two methods becomes more and more obvious as the number of the users requesting access is more and more, and the method has remarkable superiority, and the number of the slave users can be accessed nearly doubled compared with the FTPC (fiber to the Home) no matter whether the number of the master users is 3 or 5. The reason is that the FTPC allocates power only according to the channel condition of each slave user, and under the condition that normal communication is possible while the minimum SINR requirement is met, there is a case that power is allocated more for the users, which causes power waste, and the allocable power cannot be reasonably utilized to the maximum.
Fig. 4 compares the two methods with the change of the slave user SINR, and it can be seen that the higher the slave user SINR requirement is, the performance of both methods will decrease, because the higher the QoS requirement of each slave user is, the more power is allocated to each slave user, and the simulation of this embodiment requires that the SINR of the master user is 5dB higher than that of the slave user, and the high SINR of the master user will also cause more interference to the slave user, so the number of accessible slave users will decrease sharply with the increase of SINR, however, the present invention can still access nearly one time more slave users than FTPC.
Fig. 5 compares the situation that the number of users requesting access is 10, and the two methods vary with the number of master users, and consider that the SINR requirements of the slave users are 5dB and 10dB, respectively, it can be seen that, when the number of master users is small, the number of slave users that can access the system will decrease rapidly when adding one master user, because the number of master users is large, the interference to the slave users is large, the power required by each slave user for normal communication will increase, the number of slave users meeting the requirements will naturally decrease, and under the condition that the remaining conditions are not changed, the SINR of the slave users is increased by one time, and the number that can be accessed will also decrease greatly. With the increasing number of the master users, the descending trend of the number of the slave users tends to be gentle, because the slave users which can access the system per se are few, the situation of the cognitive radio is that under the condition that the demand of the master users is not large, the slave users share the frequency spectrum, and when the master users are in active communication, the slave users naturally need to retreat to ensure the normal communication of the master users. Fig. 5 shows that the performance of the present invention is still better than that of FTPC, and since the number of FTPCs is not large, the downward trend is more gradual than that of the present invention. When the number N of primary users is small, the performance of the method is greatly superior to that of FTPC, and in terms of complexity, the difference between O (N.M) and O (M) is not large because of small N, and the performance difference of the two methods is smaller and smaller as N is higher and higher, so that the FTPC with low complexity can be selected for distribution.
Fig. 6 considers the variation of the present invention with the number of primary users, the SINR of the secondary users is 5,10,15 and 20dB respectively, and the number of the secondary users requesting access is still 10. It can be seen that, each time the QoS requirement of the master user and the slave user is increased by one time, the number of users that can be accessed into the system is reduced by half, and when the communication requirements of the master user and the slave user are both high, the access rate of the slave user is very low, because under the constraint of power interference, to meet the high SINR communication requirement, more power needs to be allocated naturally, and the number of slave users is reduced accordingly.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (3)
1. The power distribution method based on NOMA and CR network, characterized by that, the application scene of the method includes a slave base station, several slave users and several pairs of master transceivers, wherein the master receiver corresponds to the master user, the CR network adopts the Underlay mode, the slave user inserts the system by way of NOMA; the method comprises the following steps:
step 1: calculating the power of each master user;
step 2: calculating the total power P allocable from the userS;
And step 3: according to PSAllocating power to the slave users;
in step 1, the power of each master user needs to satisfy:
whereinIndicating the channel gain, P, from the i-th primary transmitter to the i-th primary useri (p)Indicating the transmit power of the ith host transmitter,indicating the SINR threshold that the i-th primary user must meet for normal communication,indicating interference caused by the remaining primary transmitters to the i-th primary user,indicating interference caused by all slave users to the i-th master user, N0Then background white noise is indicated;
in step 2, the interference of the slave user to the master user cannot exceed the threshold which can be borne by the master user, and the following steps are included:
whereinIndicating the threshold that the primary user can tolerate,indicating the channel gain from the base station to the i-th primary user, orderThen equation (2) can be rewritten as:
whereinRefers to the maximum power that can be transmitted from the base station, and is a constraint of the total power of the base station;
in step 3, the signal-to-interference-and-noise ratio of each slave user needs to satisfy:
whereinRepresenting the power, P, transmitted from the base station to the jth slave useri (s)Represents the power transmitted from the base station to the ith slave user,indicating the interference caused by all master transmitters to the jth slave user,indicating the SINR threshold that the jth slave user must meet for normal communication,representing the channel gain from the base station to the jth slave user.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811310912.3A CN109327895B (en) | 2018-11-06 | 2018-11-06 | NOMA and CR network-based power distribution method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811310912.3A CN109327895B (en) | 2018-11-06 | 2018-11-06 | NOMA and CR network-based power distribution method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109327895A CN109327895A (en) | 2019-02-12 |
CN109327895B true CN109327895B (en) | 2021-06-04 |
Family
ID=65259549
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811310912.3A Active CN109327895B (en) | 2018-11-06 | 2018-11-06 | NOMA and CR network-based power distribution method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109327895B (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110366235B (en) * | 2019-07-08 | 2020-07-07 | 西北工业大学 | High-spectrum-efficiency D2D resource control method based on non-orthogonal multiple access |
CN110446250B (en) * | 2019-08-06 | 2021-06-25 | 南京邮电大学 | Two-step power distribution method for CR-NOMA hybrid system |
CN111225435B (en) * | 2020-01-17 | 2023-09-15 | 北京蓝卫通科技有限公司 | Method for transmitting NOMA (non-orthogonal frequency division multiple Access) of 5G downlink in incomplete main user interference information |
CN115022953A (en) * | 2022-05-30 | 2022-09-06 | 昆明理工大学 | Dynamic power distribution method for CR-NOMA system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102695131A (en) * | 2012-05-18 | 2012-09-26 | 上海交通大学 | Distributed power control method in cognitive network on basis of cooperative game |
WO2014107888A1 (en) * | 2013-01-11 | 2014-07-17 | 华为技术有限公司 | Transmission method and base station for downlink multiple-input multiple-output |
CN105323052A (en) * | 2015-11-18 | 2016-02-10 | 湖南大学 | OFDM-based cognitive radio network resource allocation method |
CN106211303A (en) * | 2016-07-13 | 2016-12-07 | 山东农业大学 | A kind of power distribution method for cognitive full-duplex wireless communication systems |
CN106879029A (en) * | 2017-02-28 | 2017-06-20 | 西安交通大学 | A kind of information transferring method of the high safety energy efficiency based on collaboration communication |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9455772B2 (en) * | 2013-06-28 | 2016-09-27 | Huawei Technologies Co., Ltd. | System and method for network uplink measurement based operation using UE centric sounding |
-
2018
- 2018-11-06 CN CN201811310912.3A patent/CN109327895B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102695131A (en) * | 2012-05-18 | 2012-09-26 | 上海交通大学 | Distributed power control method in cognitive network on basis of cooperative game |
WO2014107888A1 (en) * | 2013-01-11 | 2014-07-17 | 华为技术有限公司 | Transmission method and base station for downlink multiple-input multiple-output |
CN105323052A (en) * | 2015-11-18 | 2016-02-10 | 湖南大学 | OFDM-based cognitive radio network resource allocation method |
CN106211303A (en) * | 2016-07-13 | 2016-12-07 | 山东农业大学 | A kind of power distribution method for cognitive full-duplex wireless communication systems |
CN106879029A (en) * | 2017-02-28 | 2017-06-20 | 西安交通大学 | A kind of information transferring method of the high safety energy efficiency based on collaboration communication |
Non-Patent Citations (4)
Title |
---|
A novel joint user pairing and dynamic power allocation scheme in MIMO-NOMA system;Sunil Chinnadurai等;《IEEE》;20171214;全文 * |
Performance Analysis of Cooperative Relaying Systems With Power-Domain Non-Orthogonal Multiple Access;Yingying Zhang等;《IEEE》;20180711;全文 * |
新的NOMA功率分配策略;曹雍等;《通信学报》;20171025;全文 * |
针对MIMO-NOMA系统中配对弱用户的空时编码方案;龚明言等;《通信学报》;20180625;全文 * |
Also Published As
Publication number | Publication date |
---|---|
CN109327895A (en) | 2019-02-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109327895B (en) | NOMA and CR network-based power distribution method | |
CN108391317B (en) | Resource allocation method and system for D2D communication in cellular network | |
CN107613555B (en) | Non-orthogonal multiple access cellular and terminal direct connection intensive network resource management and control method | |
CN111148096B (en) | Physical layer safety optimization power distribution method in 5G NOMA system | |
CN104254130B (en) | D2D user's link and distribution method, the apparatus and system of phone user's shared resource | |
JP2008011522A (en) | Method and apparatus for sub-channel allocation | |
CN111629352B (en) | V2X resource allocation method based on Underlay mode in 5G cellular network | |
CN107172576B (en) | D2D communication downlink resource sharing method for enhancing cellular network security | |
CN111031547A (en) | Multi-user D2D communication resource allocation method based on spectrum allocation and power control | |
CN109039494B (en) | 5G communication system resource allocation method based on improved harmony search algorithm | |
TWI310641B (en) | Method and apparatus of dynamic channel assignment for a wireless network | |
Wang et al. | Admission control and power allocation for NOMA-based satellite multi-beam network | |
KR20210033861A (en) | Apparatus and method for allocating guard band in wireless communication system | |
Hassan et al. | A near optimal interference minimization resource allocation algorithm for D2D communication | |
Papavassiliou et al. | Joint optimal channel base station and power assignment for wireless access | |
CN106912059B (en) | Cognitive relay network joint relay selection and resource allocation method supporting mutual information accumulation | |
CN110446250B (en) | Two-step power distribution method for CR-NOMA hybrid system | |
JP4015011B2 (en) | Control device, base station, communication system, and communication method | |
CN110177340A (en) | A kind of super-intensive network resource allocation method of customer-centric | |
CN115243234A (en) | User association and power control method and system for M2M heterogeneous network | |
CN107888287A (en) | It is a kind of in visible light communication network based on the resource allocation methods that user experience quality is optimal | |
Radaydeh | On the performance of imperfect simultaneous D2D association under co-channel interference | |
CN109089245B (en) | Method and device for communication between devices considering lowest transmission rate of cellular user | |
CN112020146B (en) | Multi-user joint scheduling and power distribution method and system considering backhaul constraint | |
CN112243251B (en) | Cognitive MIMO system energy efficiency optimization method based on SCMA |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |